gemma-4-e2b

Public AI IQ model profile with source-backed benchmark results and derived ranking context.

IQ
84
EQ
n/a
Effective Cost
n/a
IQ Rank
#158

Release and Capabilities

Public release2026-04-02
Context window128,000 tokens

Measured Coverage and Estimates

Gemma 4 E2b has 9 of 39 tracked IQ benchmark inputs across 3 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.

Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Academic Reasoning (IQ 92) and Reliability (IQ 92). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.

Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.

IQ Dimensions

Benchmark Results

Compare

Frequently Asked Questions

What is the IQ of gemma-4-e2b?
gemma-4-e2b has an estimated IQ of 84, which ranks #158 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
Is gemma-4-e2b open source?
Yes — gemma-4-e2b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
When was gemma-4-e2b released?
gemma-4-e2b was publicly released on April 2, 2026.
How large is the context window of gemma-4-e2b?
gemma-4-e2b supports a context window of 128,000 tokens — the amount of text it can consider in a single request.